Master's degree in computer science or related field
Hands-on experience with llm techniques
Proficiency in python and pydantic validation
This role involves designing and deploying LLM-based solutions that directly shape the physical world around us to reduce waste and CO2 emissions
Job Summary
This role involves designing and deploying LLM-based solutions that directly shape the physical world around us to reduce waste and CO2 emissions.
You will work end-to-end on machine learning solutions, from data preparation and evaluation to deployment and monitoring within a lean, startup-like team.
AECOM offers comprehensive benefits including medical, dental, vision, retirement savings, and flexible work options for its global team of over 50,000 professionals.
Matching Summary
This role involves designing and deploying LLM-based solutions that directly shape the physical world around us to reduce waste and CO2 emissions.
Skills & Requirements
Must-have
Master's degree in Computer Science or related field
Hands-on experience with LLM techniques
Proficiency in Python and pydantic validation
Experience building RAG systems and prompt engineering
End-to-end ML solution development and CI/CD pipelines
Nice-to-have
Optimizing CPU-bound and GPU-bound workloads
Knowledge of monitoring tools like Prometheus and Grafana
Experience with Infrastructure as Code (Terraform)
Azure cloud platform experience
Background in construction industry product development
Key Requirements
Master's degree in Computer Science, Data Science, or Computational Linguistics
Proven experience working end-to-end on software solutions